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Senior Data Engineer
4 months ago
backend tables and data model is essential.Qualifications:Bachelor's degree in Computer Science, Information Technology, or a related field.5 to 8 Years of proven experience in designing and implementing data solutions within the Hadoop ecosystem.Strong expertise in Hadoop components such as HDFS, Sqoop, Unix shell scripting, Python coding and SparkExperience with FLEXCUBE integration and data extraction.Proficiency in SQL and database systems.Knowledge of data modelling and ETL processes.Strong problem-solving and analytical skills.Excellent communication and teamwork abilities.Banking or financial industry experience is a plus.Certifications in Hadoop or related technologies are beneficial.Additional Information:This role offers an exciting opportunity to work on cutting-edge data projects and contribute to data-driven decision-making in the financial sector. The candidate should be prepared to work in a dynamic and collaborative environment. Candidates with a strong background in the Hadoop ecosystem and experience with FLEXCUBE integration are encouraged to apply. We are committed to fostering professional growth and providing opportunities for skill development.